Carbon and nitrogen storage in an age-sequence of Pinus densiflora stands in Korea

• Published in: Science China. Life sciences Vol. 53; no. 7; pp. 822 - 830
• Main Authors: Noh, Nam-Jin, Son, Yowhan, Lee, Sue-Kyoung, Seo, Kyung-Won, Heo, Su-Jin, Yi, Myong-Jong, Park, Pil-Sun, Kim, Rae-Hyun, Son, Yeong-Mo, Lee, Kyeong-Hak
• Format: Journal Article
• Language: English
• Published: Beijing Science China Press 01-07-2010; Springer Nature B.V
• Subjects: Biomass; Biomedical and Life Sciences; Carbon - metabolism; Ecosystem; Life Sciences; Nitrogen - metabolism; Pinus - metabolism; Republic of Korea; Republic of Korea; allometric equation; biomass; age-sequence; stand age; carbon; nitrogen
• ISSN: 1674-7305; 1869-1889
• DOI: 10.1007/s11427-010-4018-0

The carbon (C) and nitrogen (N) storage capabilities of
Pinus densiflora
in six different stand ages (10, 27, 30, 32, 44, and 71 years old) were investigated in Korea. Thirty sample trees were destructively harvested and 12 were excavated. Samples from the above and belowground tree components, coarse woody debris (CWD), forest floor, and mineral soil (0–30 cm) were collected. Tree biomass was highest in the 71-year-old stand (202.8 t ha
−1
) and lowest in the 10-year-old stand (18.4 t ha
−1
). C and N storage in the mineral soil was higher in the 71-year-old stand than in the other stands, mainly due to higher soil C and N concentrations. Consequently, the total ecosystem C and N storage (tree+forest floor+CWD+soil) was positively correlated with stand age: increasing from a minimum in the 10 year old stand (18.8 t C ha
−1
and 1.3 t N ha
−1
) to a maximum in the 71-year-old stand (201.4 t C ha
−1
and 8.5 t N ha
−1
). The total ecosystem C storage showed a similar sigmoidal pattern to that of tree C storage as a function of the age-sequence, while N storage in the CWD, forest floor and mineral soil showed no significant temporal trends. Our results provide important insights that will increase our understanding of C and N storage in
P. densiflora
stands and our ability to predict changes according to stand age in the region.